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Advanced Data Engineering Services

Accelerate enterprise decision-making with an AI-First Architecture 

Explore the Data Transformation

Trusted by Leaders

The Data Engineering Challenge
As organizations mandate data-driven insights and AI adoption, data teams will
have to deliver scalable, reliable data infrastructure.

Testimonials

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I needed a cost-effective transaction monitoring tool which would identify high-risk transactions, flag potential control weaknesses, improve over time through machine learning, reduce the number of false positives reviewed by the compliance team and be user-friendly in terms of configuration and visualization. konaAI delivers on all counts, and I was very pleased with the choice we made.

Amay Sharma
CEO, Unblast 

Driving Success Through
Strategic Partnerships

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Our story

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Our story

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Intelligence by
Design
Traditional data engineering approaches create technical debt, cost spirals and innovation bottlenecks. Our Data Engineering Philosophy is "Intelligence by Design" that saves costs and paves ways for faster, relevant business decisioning.
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Intelligent Data Platform Engineering

Transform your data architecture from a collection of tools into a unified, intelligent platform. We help you scale your business with a unified Data Lakehouse that combines the flexibility of data lakes with the performance of data warehouses. With our industry-specific data models, you can auto-scale your infrastructure based on your unique business needs. Faster time-to-market, self-service data access, and reduced operational expenses are the benefits that you reap with our data platform engineering services.

Key Capabilities

Architecture-Blueprinting

Architecture Blueprinting

Security-first, multi-tenant design for scalable data systems.

Infrastructure-as-Code

Infrastructure as Code (IaC)

Reproducible deployments across GCP, Azure, and AWS.

Automated-Health-Monitoring

Automated Health Monitoring

Predictive failure detection and proactive alerts.

CICD-Pipelines

CI/CD
Pipelines

For schema migrations and configuration management.

Technology-Stack

Technology Stack

Databricks, Snowflake, BigQuery, Azure Synapse, AWS Redshift, Informatica.

Explore Real-Time Data Ingestion
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Real-Time Data

Real-Time Data Ingestion & Integration

We deliver high-velocity data capture from IoT sensors, clickstreams, microservices, and application logs. We ensure unified batch-stream processing to eliminate the complexity of maintaining separate pipelines. Our team of experts manages schema evolution to adapt to changing data structures without breaking downstream systems. Your business can benefit from real-time insights enabling faster decision cycles, reduced data latency, and unified data semantics eliminating batch-stream inconsistencies.

Key Capabilities

Streaming-Frameworks

Streaming Frameworks

Apache Kafka, Confluent Cloud, AWS Kinesis, Azure Event Hubs, GCP Pub/Sub.

Serverless Integration

Serverless Integration

AWS Glue Streaming, Azure Data Factory, GCP Dataflow.

CDC

Change Data Capture (CDC)

Debezium, AWS DMS, Azure Data Factory CDC connectors.

In-flight-Transformation

In-flight Transformation

Spark Structured Streaming, Apache Flink.

Explore Real-Time Data
Frame 20

Data FinOps & Cost Intelligence

The rapidly growing cost of running infrastructure that often exceeds the value delivered is a critical challenge that many organizations face. Our FinOps approach ensures every dollar spent on data infrastructure drives measurable business value. We provide proactive cost management with real-time monitoring and optimization recommendations. We enable business-aligned budgeting and intelligent resource optimization for automating rightsizing. Measurable benefits include transparent cost allocation to business units, minimum budget overruns through intelligent guardrails, and a considerable reduction in total cloud data spend.

Key Capabilities

Cost-Monitoring-Dashboards

Cost Dashboards

Cloud Cost Explorer, Azure Cost Management, GCP Billing.

Automated-Tagging

Automated Tagging

Strategies for complete cost visibility and reporting.

Rightsizing-Policies

Rightsizing Policies

Scriptable recommendations for cost optimization.

Multi-Region Optimization

Multi-Region Optimization

Reserved instance analysis and cost-saving strategies.

Explore FinOps Solutions
Startup Agility,
Enterprise Reliability
  • Automate your data engineering processes within weeks, not months.
    Flexible engagement models that scale with your needs.
Technology
Excellence
Certified experts across all major cloud platforms.
Deep expertise in modern data stack technologies.
Proven patterns for enterprise-scale deployments.
Business-First
Approach
Every technical decision mapped to business outcomes.
Transparent ROI measurement and reporting.
Focus on user adoption and business value realization.

Ready to Transform Your Data Infrastructure?

Explore Data Transformation Solutions

 

Insights

Frequently Asked Questions

How long does it take to build a modern data platform?

Using our proven frameworks and Infrastructure-as-Code approach, we typically deliver MVP data platforms within 6-8 weeks, with full-scale implementations completed in 3-4 months. Our modular approach enables iterative delivery and early value realization. 

What happens to our existing data during migration?

We use proven migration strategies including parallel running, gradual cutover, and comprehensive data validation. Zero downtime migrations are possible for critical systems, and we provide rollback capabilities at every stage.

Can you handle real-time data processing requirements?

Absolutely. We specialize in streaming data architectures using Apache Kafka, AWS Kinesis, Azure Event Hubs, and GCP Pub/Sub. We can process millions of events per second with sub-second latency for real-time analytics and decision-making.

How do you ensure our data pipelines won't break?

We implement comprehensive monitoring, automated testing, and self-healing capabilities. Our pipelines include automated retries, circuit breakers, and failure notifications. Most clients achieve 99.9% uptime with our engineering practices.

Which cloud platform should we choose?

The decision would depend on your existing infrastructure, compliance requirements, and specific use cases. We're certified experts across AWS, Azure, and GCP, and can provide detailed platform comparisons based on your needs.

Can your service integrate with our existing business applications?

Yes, we have extensive experience integrating with ERP systems (SAP, Oracle), CRM platforms (Salesforce, Microsoft Dynamics), and hundreds of other business applications through APIs, connectors, and custom integration solutions.

What about data from legacy systems?

We specialize in modernizing legacy data architectures. We can extract data from mainframes, legacy databases, flat files, and other systems while maintaining data integrity and business continuity.

How do you control cloud costs for data platforms?

Our FinOps approach includes automated cost monitoring, rightsizing recommendations, reserved instance optimization, and scriptable policies. Most clients reduce their data infrastructure costs by 30-50% while improving performance.

What ongoing support do you provide?

We offer flexible support models from fully managed services to advisory consulting. This includes 24/7 monitoring, performance optimization, capacity planning, and technology updates to keep your platform current.